Triple

T16869579
Position Surface form Disambiguated ID Type / Status
Subject IHO S-100 Universal Hydrographic Data Model E410133 entity
Predicate alsoKnownAs P39 FINISHED
Object S-100 E87411 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: S-100 | Statement: [IHO S-100 Universal Hydrographic Data Model, alsoKnownAs, S-100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-100
Context triple: [IHO S-100 Universal Hydrographic Data Model, alsoKnownAs, S-100]
  • A. S-100 chosen
    S-100 is a modern, universal hydrographic data model and framework used as the basis for next-generation electronic navigational charts and related marine geospatial products.
  • B. S-100 bus
    The S-100 bus is an early microcomputer expansion bus standard, originally used in Altair 8800–era systems, that defined a 100-pin edge connector for modular CPU, memory, and peripheral cards.
  • C. C-10
    C-10 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • D. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • E. SR-91
    SR-91 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50b85c08190b35d1c45ee0e9675 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2aeb9908190964a9403402186fb completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.